Chinese Journal of Tissue Engineering Research ›› 2011, Vol. 15 ›› Issue (22): 4084-4086.doi: 10.3969/j.issn.1673-8225.2011.22.022

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MRI brain image segmentation based on point symmetry distance - fuzzy C means algorithm

Deng Yu, Huang Hua   

  1. School of Electrical Engineering and Information, Sichuan University, Chengdu  610065, Sichuan Province, China
  • Received:2010-11-29 Revised:2011-04-05 Online:2011-05-28 Published:2011-05-28
  • Contact: Huang Hua, Doctor, Professor, School of Electrical Engineering and Information, Sichuan University, Chengdu 610065, Sichuan Province, China hhua@scu.edu.cn
  • About author:Deng Yu★, Master, School of Electrical Engineering and Information, Sichuan University, Chengdu 610065, Sichuan Province, China 86yu11@163.com

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Abstract:

BACKGROUND: Image segmentation is a significant step of image processing and analysis. Within the traditional segmentation methods, fuzzy C means clustering (FCM) is applied widely.
OBJECTIVE: To introduce point symmetry distance (PS)-FCM (PS-FCM) algorithm into the MRI brain image segmentation so as to promote the accuracy of MRI image segmentation.
METHODS: In connection with the traditional FCM algorithm based on Minkowski distance, this pepper introduces PS-FCM algorithm into the MRI brain image segmentation.
RESULTS AND CONCLUSION: Experimental results show that PS-FCM has obvious advantages compared with traditional FCM algorithm.

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